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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 16620
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    INDEX
    Explanations

    words related to minimizing or reducing negative impacts or problems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to risk reduction or mitigation strategies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ession
    -0.78
    ker
    -0.71
    ebus
    -0.70
    lished
    -0.66
    dom
    -0.65
    prints
    -0.65
    doms
    -0.64
    olds
    -0.63
    kie
    -0.63
    ¦
    -0.63
    POSITIVE LOGITS
     mitigation
    1.16
     mitigate
    0.98
     remed
    0.82
     mitigating
    0.80
    atives
    0.79
     solutions
    0.76
    00200000
    0.75
    iation
    0.74
    igating
    0.73
     inconven
    0.72
    Activations Density 0.024%

    No Known Activations